def test_np_format_as_indexsequence2vectorsequence():
index_sequence_space = IndexSequenceSpace(max_labels=6, dim=1)
vector_sequence_space = VectorSequenceSpace(dim=6)
data = np.array([[0], [1], [4], [3]])
rval = index_sequence_space.np_format_as(data, vector_sequence_space)
true_val = np.array([[1, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0], [0, 0, 0, 1, 0, 0]])
assert np.all(rval == true_val)
def test_np_format_as_indexsequence2indexsequence():
index_sequence_space1 = IndexSequenceSpace(max_labels=6, dim=1,
dtype='int16')
index_sequence_space2 = IndexSequenceSpace(max_labels=6, dim=1,
dtype='int32')
data = np.random.randint(low=0, high=5, size=(10, 1))
rval = index_sequence_space1.np_format_as(data, index_sequence_space2)
assert np.all(rval == data)
def test_np_format_as_indexsequence2vectorsequence():
index_sequence_space = IndexSequenceSpace(max_labels=6, dim=1)
vector_sequence_space = VectorSequenceSpace(dim=6)
data = np.array([[0], [1], [4], [3]])
rval = index_sequence_space.np_format_as(data, vector_sequence_space)
true_val = np.array([[1, 0, 0, 0, 0, 0],
[0, 1, 0, 0, 0, 0],
[0, 0, 0, 0, 1, 0],
[0, 0, 0, 1, 0, 0]])
assert np.all(rval == true_val)
def test_np_format_as_indexsequence2indexsequence():
index_sequence_space1 = IndexSequenceSpace(max_labels=6,
dim=1,
dtype='int16')
index_sequence_space2 = IndexSequenceSpace(max_labels=6,
dim=1,
dtype='int32')
data = np.random.randint(low=0, high=5, size=(10, 1))
rval = index_sequence_space1.np_format_as(data, index_sequence_space2)
assert np.all(rval == data)
